asaran / VeSSALLinks
This repository contains code used to conduct experiments reported in the paper "Streaming Active Learning with Deep Neural Networks" accepted at ICML 2023.
☆14Updated 10 months ago
Alternatives and similar repositories for VeSSAL
Users that are interested in VeSSAL are comparing it to the libraries listed below
Sorting:
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated 2 years ago
- ☆29Updated 4 years ago
- Coresets via Bilevel Optimization☆68Updated 5 years ago
- ☆67Updated 3 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆72Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆100Updated 2 years ago
- ☆39Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆49Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Code for paper "Adversarial Support Alignment"☆23Updated 3 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆44Updated 3 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Updated 2 years ago
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- ☆13Updated 2 years ago
- Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastrea…☆45Updated 3 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 4 years ago
- SparCL: Sparse Continual Learning on the Edge @ NeurIPS 22☆30Updated 2 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Updated 4 years ago
- Code to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆52Updated 2 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆62Updated 4 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Updated 3 years ago
- ☆50Updated 2 years ago
- ☆72Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago
- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆22Updated 2 years ago
- Official [ICLR] Code Repository for "Gradient Projection Memory for Continual Learning"☆100Updated 4 years ago
- "Scalable and Order-robust Continual Learning with Additive Parameter Decomposition", ICLR 2020☆23Updated 3 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 3 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆27Updated 2 years ago